Research Engineer (Agentic EDA)

Join our team as a Research Engineer focused on advancing agentic LLMs and reinforcement learning for semiconductor design automation. You will design and run experiments, build agents, curate datasets, and create rigorous evaluations. You will also write production-quality research code and collaborate closely with engineering to deliver improvements to customers.

• Concevoir et exécuter des expériences pour développer des systèmes multi-agents pour la génération de code.
• Construire des prototypes de recherche qui s'intègrent à notre outil de génération de code agentique de production.
• Créer des environnements d'apprentissage par renforcement et des évaluations pour les agents, explorer les récompenses proxy.
• Strong Python and ML framework experience (PyTorch preferred; JAX/HF a plus)
• Experience designing evaluation environments and reward models for sequential/agentic tasks
• Clear communicator who partners well with other engineers
• Comfortable with data acquisition/curation; good instincts about data quality and licenses
• Experience and fluency with EDA tools (formal, simulation, physical design)
• PhD in CS/AI/ML (or equivalent research experience) with publications ideally in multi‑agent RL, agentic AI, or RL for language/code
• Demonstrated ability to turn research into working systems
• Research on program synthesis/codegen, constrained decoding, or execution‑based rewards
• Experience with offline RL from tool traces or human corrections
• Open‑source contributions (e.g., SkyRL, verl, RLlib, Transformers, Pytorch)
• Familiarity with semiconductor/chip domains or other complex technical domains
• Track record of shipping research to production